No more reading blog posts. It is time to forecast for real. 😎 Here is a project you can build. “Let’s predict taxi demand in NYC” Let’s create a predictive model to forecast the number of taxi rides that will happen in Manhattan (New York City) per hour (e.g. tomorrow between 5 PM and 6 …
Reading blog posts about multi-billion-parameter Language Models is very cool. However, building real-world NLP products from these models is where the real business value is. And this is what companies look for in the job market. So, here is a PRO project you can build. “An app that recommends what ML paper to read” Imagine …
Let’s build a Machine Learning service to predict the Air Quality Index (AQI) in your city in the next 3 days, using a 100% serverless stack. You will learn a lot, AND you will build something useful for society. Win-win These are steps to build this ↓ Step 1 – Feature generation script 1 → …
After one month of working on my first real-world ML project, my manager told me: “Pau, we need to stop the project. This is not going anywhere.” I felt like a failure. However, with time I understood the 3 crucial mistakes I made, and transformed them into 3 learnings. 💎 Tip 1: Estimate the Return …
3 things you need to know before your first real-world ML project Read More »
Every aspiring data scientist I talk to thinks their job starts when someone else gives them: a dataset, and a clearly defined metric to optimize for, e.g. accuracy But it doesn’t. It starts with a business problem you need to understand, frame, and solve. This is the key data science skill that separates senior from …
Are you still wondering what the day-to-day of a professional data scientist looks like? What does a data scientist do in the industry? Let me shed some light on this, and share a few tips I learned, that can help you succeed in your job. The problem Despite the colossal amount of educational content on …
Day-to-day of a data scientist: What does a data scientist do? Read More »
Are you a data scientist using CSV files to store your data? What if I told you there is a better way? Have you ever heard of the Parquet file format? Can you imagine a lighter 🦋 faster 🏎️ cheaper 💸 file format to save your datasets? Read this article so you don’t need to …
Even the most advanced AI models have their flaws Would you say Deep Learning models have become so good, that robust AI systems are no longer a dream, but a reality? Do you think you can safely use the latest models published by researchers in any real-world problem, like self-driving cars? Or face recognition software …
Sweetviz is the way Tired of spending “too much time” doing data exploration before training your Machine Learning models? Looking for a faster way to understand data issues and patterns, before you dive into the fun part of training your ML model? Wanna learn how to train better ML models, by finding and fixing issues in …
Fast and easy data exploration for Machine Learning Read More »
From standard ML metrics to production How often do you test ML models in a Jupyter notebook, get good results, but still cannot convince your boss that the model should be used right away? Or maybe you manage to convince her and put the model in production, but you do not see any impact on …
